| AnatomyNet: deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy W Zhu, Y Huang, L Zeng, X Chen, Y Liu, Z Qian, N Du, W Fan, X Xie Medical physics 46 (2), 576-589, 2019 | 520 | 2019 |
| Coronary atherosclerosis imaging by coronary CT angiography: current status, correlation with intravascular interrogation and meta-analysis S Voros, S Rinehart, Z Qian, P Joshi, G Vazquez, C Fischer, P Belur, ... JACC: Cardiovascular Imaging 4 (5), 537-548, 2011 | 451 | 2011 |
| Prospective validation of standardized, 3-dimensional, quantitative coronary computed tomographic plaque measurements using radiofrequency backscatter intravascular ultrasound … S Voros, S Rinehart, Z Qian, G Vazquez, H Anderson, L Murrieta, ... JACC: Cardiovascular Interventions 4 (2), 198-208, 2011 | 242 | 2011 |
| Shape-aware organ segmentation by predicting signed distance maps Y Xue, H Tang, Z Qiao, G Gong, Y Yin, Z Qian, C Huang, W Fan, X Huang Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12565 …, 2020 | 143 | 2020 |
| System and method for lesion-specific coronary artery calcium quantification S Voros, Z Qian US Patent 8,970,578, 2015 | 141 | 2015 |
| Quantitative prediction of paravalvular leak in transcatheter aortic valve replacement based on tissue-mimicking 3D printing Z Qian, K Wang, S Liu, X Zhou, V Rajagopal, C Meduri, JR Kauten, ... JACC: Cardiovascular Imaging 10 (7), 719-731, 2017 | 138 | 2017 |
| Finite element analysis of spinal cord injury in the rat JT Maikos, Z Qian, D Metaxas, DI Shreiber Journal of neurotrauma 25 (7), 795-816, 2008 | 138 | 2008 |
| Active volume models for medical image segmentation T Shen, H Li, X Huang IEEE transactions on medical imaging 30 (3), 774-791, 2010 | 124 | 2010 |
| Dual-material 3D printed metamaterials with tunable mechanical properties for patient-specific tissue-mimicking phantoms K Wang, C Wu, Z Qian, C Zhang, B Wang, MA Vannan Additive Manufacturing 12, 31-37, 2016 | 111 | 2016 |
| 3D printing, computational modeling, and artificial intelligence for structural heart disease DD Wang, Z Qian, M Vukicevic, S Engelhardt, A Kheradvar, C Zhang, ... Cardiovascular Imaging 14 (1), 41-60, 2021 | 108 | 2021 |
| Quantitative measurements of coronary arterial stenosis, plaque geometry, and composition are highly reproducible with a standardized coronary arterial computed tomographic … S Rinehart, G Vazquez, Z Qian, L Murrieta, K Christian, S Voros Journal of cardiovascular computed tomography 5 (1), 35-43, 2011 | 99 | 2011 |
| Controlling the mechanical behavior of dual-material 3D printed meta-materials for patient-specific tissue-mimicking phantoms K Wang, Y Zhao, YH Chang, Z Qian, C Zhang, B Wang, MA Vannan, ... Materials & Design 90, 704-712, 2016 | 89 | 2016 |
| Extraction and tracking of MRI tagging sheets using a 3D Gabor filter bank Z Qian, DN Metaxas, L Axel 2006 International Conference of the IEEE Engineering in Medicine and …, 2006 | 71 | 2006 |
| Optimal topological cycles and their application in cardiac trabeculae restoration P Wu, C Chen, Y Wang, S Zhang, C Yuan, Z Qian, D Metaxas, L Axel Information Processing in Medical Imaging: 25th International Conference …, 2017 | 64 | 2017 |
| Prospective, head-to-head comparison of quantitative coronary angiography, quantitative computed tomography angiography, and intravascular ultrasound for the prediction of … S Voros, S Rinehart, JG Vazquez-Figueroa, A Kalynych, D Karmpaliotis, ... The American journal of cardiology 113 (1), 23-29, 2014 | 57 | 2014 |
| Lesion-and vessel-specific coronary artery calcium scores are superior to whole-heart Agatston and volume scores in the diagnosis of obstructive coronary artery disease Z Qian, H Anderson, I Marvasty, K Akram, G Vazquez, S Rinehart, S Voros Journal of cardiovascular computed tomography 4 (6), 391-399, 2010 | 55 | 2010 |
| Preliminary validation of angle-independent myocardial elastography using MR tagging in a clinical setting WN Lee, Z Qian, CL Tosti, TR Brown, DN Metaxas, EE Konofagou Ultrasound in medicine & biology 34 (12), 1980-1997, 2008 | 54 | 2008 |
| Segmenting cardiac MRI tagging lines using Gabor filter banks Z Qian, A Montillo, DN Metaxas, L Axel Proceedings of the 25th Annual International Conference of the IEEE …, 2003 | 48 | 2003 |
| Anatomynet: Deep 3d squeeze-and-excitation u-nets for fast and fully automated whole-volume anatomical segmentation W Zhu, Y Huang, H Tang, Z Qian, N Du, W Fan, X Xie BioRxiv, 392969, 2018 | 47 | 2018 |
| A learning framework for the automatic and accurate segmentation of cardiac tagged MRI images Z Qian, DN Metaxas, L Axel Computer Vision for Biomedical Image Applications: First International …, 2005 | 47 | 2005 |
Dimitris N. MetaxasBoard of Governors Professor of Computer Science, Rutgers University在 cs.rutgers.edu 的电子邮件经过验证